Papers
2
Total Citations
9
H-Index
2
About
Le Van Nghia is a researcher at the forefront of applying artificial intelligence and robotics to modern aquaculture. His work centers on developing intelligent, non-intrusive methods for fish monitoring and management, with a particular focus on computer vision and robotic systems for cage aquaculture. His most notable contribution is the development of a fish image classification system using MobileNetV2 with transfer learning, designed specifically for robotic applications in aquaculture—a paper that has already garnered 5 citations since its 2024 publication. He has also advanced the field through his work on methods and technical means for non-intrusive assessment of fish biomass and robotic maintenance of cage aquaculture, which has received 4 citations. These contributions are critical for enabling automated, real-time monitoring of fish health and population in aquaculture environments, reducing the need for human intervention and improving sustainability. Nghia’s research bridges the gap between deep learning and practical robotic systems, offering scalable solutions for the growing aquaculture industry.
Research Focus
Key Achievements
Top Papers
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